深度学习与Pytorch实战课件.rar （110个子文件） 
lesson19.1.mp4.baiduyun.uploading.cfg 34KB lesson19.2.mp4.baiduyun.uploading.cfg 33KB data.csv 4KB .gitignore 18B .gitignore 18B .gitignore 12B .gitignore 5B lesson66-图卷积网络GCN.iml 453B lstm.ipynb 44KB
GAN样片.jpg 29.14MB demo.lua 317B README.md 842B README.MD 170B
深度学习：GAN.pdf 5.36MB AutoEncoders.pdf 3.49MB Expand.pdf 1.66MB 44.pdf 1.56MB 51.pdf 1.53MB 16 梯度.pdf 1.49MB 30 可视化.pdf 1.47MB lesson7.pdf 1.43MB 31.pdf 1.31MB statisics.pdf 1.28MB 41.pdf 1.2MB 46(1).pdf 1.16MB 35.pdf 1.15MB 38 CNN.pdf 1.14MB 37 卷积.pdf 1.14MB 43.pdf 1.14MB 25 交叉熵.pdf 1.13MB 32.pdf 1.1MB lesson6.pdf 1.09MB math operation.pdf 1015KB 27 全连接层.pdf 993KB 18.2 LOSS及其梯度.pdf 989KB 42.pdf 978KB Concat.pdf 975KB 50.pdf 968KB 33.pdf 953KB lesson2.pdf 948KB 21.pdf 940KB lesson1.pdf 914KB 48.pdf 884KB lesson8.pdf 883KB lesson4.pdf 861KB 34.pdf 816KB 24 LR.pdf 798KB 39.pdf 750KB lesson3.pdf 748KB 18.1 激活函数梯度.pdf 724KB 29.pdf 713KB 47.pdf 706KB 52.pdf 644KB 20.pdf 611KB 19.2 多输出感知机.pdf 584KB 49.pdf 572KB lesson5.pdf 570KB 26.pdf 567KB Broadcasting.pdf 552KB 19.1 单一输出感知机.pdf 549KB 22 Himmelblau.pdf 543KB tensor advanced.pdf 502KB 28.pdf 452KB 17 常见函数梯度.pdf 282KB 40.pdf 1.28MB 53.pdf 1000KB
content.png 510KB 2019-01-13.png 119KB 2019-01-12 (6).png 68KB 答疑群-926107229.png 51KB figure.png 49KB gan.py 6KB wgan_gp.py 6KB resnet.py 5KB lstm.py 4KB main.py 4KB main.py 3KB train.py 3KB main.py 3KB main.py 3KB utils.py 3KB main.py 3KB main.py 3KB main.py 3KB seris.py 2KB resnet.py 2KB main.py 2KB main.py 2KB main.py 2KB gd.py 2KB rnn.py 2KB main.py 2KB lenet5.py 2KB vae.py 1KB layers.py 1KB ae.py 969B main.py 953B models.py 812B lesson1.py 546B autograd_demo.py 353B共 110 条
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